class_docstr: Base class for interfacing pmdarima.
class_docstr_tok: ["Base","class","for","interfacing","pmdarima","."]
docstr: Return parameter values under `arima_res_`.
docstr_tok: ["Return","parameter","values","under","`","arima_res_","`","."]
code: def _get_fitted_params_arima_res(self):
      """Return parameter values under `arima_res_`."""
      if hasattr(self._forecaster, "model_"):  # AutoARIMA
          return self._forecaster.model_.arima_res_._results.params
      elif hasattr(self._forecaster, "arima_res_"):  # ARIMA
          return self._forecaster.arima_res_._results.params
      else:
          raise NotImplementedError()
  
file_path: sktime/sktime/forecasting/base/adapters/_pmdarima.py
imports: import pandas
  from sktime.datatypes._utilities import get_slice
  from sktime.forecasting.base import BaseForecaster
  from sktime.forecasting.base._base import DEFAULT_ALPHA
label_desc: Use image node_id 10 for calling the _PmdArimaAdapter obj's underlying member method code with example usage: obj._get_fitted_params_arima_res() and returns: self, self